Applications are invited for the position of Senior Data Scientist in CeADAR - Ireland's Centre for Artificial Intelligence.The role will support the European Digital Innovation Hub (EDIH) programme.
Post Duration: Temporary Post until the 31 August 2026 (initially)
Appointment on the above range will be dependent on qualifications and experience
Closing Date: 1st August 2025 The EDIH programme for AI is focused on supporting small and medium enterprises, and public service organisations, on their transition to digital and AI technologies.
There are 4 key services that the EDIH programme for AI provides:
·Test-before-Invest: The EDIH will conduct digital maturity assessments to assess the readiness of businesses to implement data analytics and AI.
The EDIH will use case studies to showcase the benefits of AI for businesses, develop & test proofs-of-concept and ensure knowledge and technology transfer.
·Skills and Training:The EDIH currently offers self-paced online training, AI for Executives, to demystify AI and its application in business.
Ad hoc webinar series focus on special topics e.g.
Generative AI
·Support to find Investments: The EDIH will help businesses identify suitable funding through national and EU instruments, and will support start-ups in securing venture funding.
·Ecosystem and Networking: The EDIH aims to connect companies, institutions, public administrations and other stakeholders in both Ireland and the wider EU, fostering collaboration that drives digital transformation, and the application of AI in Irish businesses
CeADAR is seeking an individual who will support the Test-before-Invest pillar and who have a demonstrated successful track record in data science in industrial research settings (>6 years) or academic centres.
Individuals for this role are expected to have proven experience applying artificial intelligence, machine learning, computational statistics, and statistics to specific problems, particularly in areas such as deep learning, graphical models, reinforcement learning, computer vision, natural language processing and data representation.
The ideal candidates will have a keen interest in contributing to the development of proof of concepts to allow companies to leverage the benefits of state-of-the-art AI algorithms
Principal Duties and Responsibilities: Technical ?Technical leadership and oversight of research projects in data science (machine learning) in collaboration with other senior data scientists and software engineers in the team and with industry
?Hands-on research and development activities as required, including devising technical solutions, implementing software and evaluating proposed solutions in the field of data analytics in areas such as computer vision, natural language processing, multimodal time series, etc.
?Continuous learning and application of the latest techniques and libraries in machine learning to real problems
?Dissemination of projects results and evangelisation of technologies at industry events.
?Authorship of technical publications, project reports
Management/Organizational ?Management and mentoring of data scientists
?Management of research projects with company partners
?Scoping of research projects for industry partners
?Preparation of funding proposals at national and EU level
Business Development ?Business development activities when required
?Communication of data driven insights to non-technical audiences
?Involvement in external industry, academic and government groups and fora with a view to publicizing and promoting the activities of the centre
Any Other Duties ?Undertake any other duties as assigned by the CEO or PI
Selection Criteria Selection criteria outline the qualifications, skills, knowledge and/or experience that the successful candidate would need to demonstrate for successful discharge of the responsibilities of the post.
Applications will be assessed on the basis of how well candidates satisfy these criteria
Mandatory: ?MSc in Computer Science or Minimum of 6 years' experience developing applied data science solutions
?Expert knowledge of data analytics methods and experience with traditional machine learning and advanced deep learning technologies and associated software frameworks
?Strong Software development skills using Python or similar languages and experience of back-end and front-end web development and strong database skills
?Experience working with Linux and in the use of docker containers and API development
?Ability to generate new ideas and build upon existing ideas to generate unique concepts
?A willingness to learn and explore new tech and data science tools
?Experience working closely with industry partners on machine learning projects, particularly developing project specifications and delivering to deadlines on multiple projects simultaneously
?Experience managing project and small data scientist teams
?Excellent communication skills with demonstrated experience of writing technical reports
?Candidates must demonstrate an awareness of equality, diversity and inclusion agenda
?Experience of working in/with industry in a data scientist role
?Experience in the use of cloud IaaS systems (e.g.
AWS, Azure, Google Cloud)
? Experience with conversational Retrieval Augmented Generation and frameworks e.g.
LangChain, Llama Index, Multi Agent, Langsmith
? Experience in applying techniques for model interpretability and explainability
? Experience in Research & Development e.g.
graph technology
Supplementary Information:
Details on eligibility to compete and pension information is available at
UCD is committed to creating an inclusive environment where diversity is celebrated and everyone is afforded equality of opportunity.
We welcome applications from everyone, including those who identify with any of the protected characteristics that are set out in our Equality, Diversity and Inclusion policy.Learn more about Diversity at
Reasonable accommodations will be provided to any applicant during the interview process who discloses they have a disability or are neurodiverse.
The University:
UCD College of Science:
UCD School of Computer Science:
The CeADAR EDIH for AI Programme
EDIH | CeADAR
The Centre:
Enterprise Ireland Technology Centres:
Innovation/Companies/Collaborate-with-companies-research- institutes/Technology-Centres.html
Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Research Services Referrals increase your chances of interviewing at CeADAR Ireland by 2x
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